Robot joint space point-to-point movement trajectory planning method

Abstract

A robot joint space point-to-point movement trajectory planning method. Joint space trajectory planning is performed according to the displacement of a robot from a start point to a target point during PTP movement and a limitation condition of a preset movement parameter physical quantity of each axis in a robot control system. An n-dimensional space is constructed by taking each axis of the robot as a vector, wherein n≥2, and the movement parameter physical quantity of each axis of the robot is verified according to a vector relationship between the n axes of the robot, so that a trajectory planning curve of each axis of the robot satisfies the limitation condition of the preset movement parameter physical quantity. The method has a small amount of calculations and strong real-time performance, the movement curves are mild, the control time is optimal, and the algorithm execution effect is good.

Description

FIELD OF THE INVENTION[0001]The invention relates to a trajectory planning method for a robot, and particularly to a trajectory planning method for point-to-point motion in robot joint space.BACKGROUND OF THE INVENTION[0002]With the development of modern technology, industrial robots have more and more applications, and the forms of working tasks in various application fields get more diversified as well. There are high requirements on real-time control in a robot application scenario such that a robot control system needs to provide an efficient motion control strategy. As a key technology in a robot control system, the trajectory planning of robot motion directly determines the operating efficiency of the control system and plays an important role in whether a robot can complete high-speed and high-precision machining.[0003]There are two kinds of motion trajectories commonly used by robots: linear and arc motion trajectories in Cartesian space; and point-to-point motion trajectori...

AI Technical Summary

Benefits of technology

This method reduces calculation complexity, ensures smooth and synchronized motion, and optimizes the execution time of point-to-point motion, significantly improving the operating efficiency and real-time performance of industrial robots.

Problems solved by technology

Robots generally have multiple axes, and a PTP motion using the above method requires multiple trajectory planning with a huge calculation amount such that trajectory points may not be generated in a control cycle during the real-time planning in robot control, thus failing to meet the requirements on real-time control.

Therefore, the motion time selected by the method of the patent is not necessarily an optimal time for the PTP motion, and it may take a longer time to complete a PTP motion, thus affecting the efficiency of the robot in actual machining.

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